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  1. People/

Dr.-Ing. Pablo Gil Pereira

Alumni of the Telecommunications Lab

Research Interest #

I apply deep learning to the design of energy-aware transport protocols offering a predictably reliable, real-time transport service.

Curriculum Vitae #

Experience #

  • Researcher at the Telecommunications Lab (Jan. 2018 – Oct. 2023)

Education #

  • PhD Student at Saarland Informatics Campus (Jan. 2018 – Jun. 2024)
  • Master Student at Universidad Politécnica de Madrid (Sep. 2015 – Sep. 2017)
  • Bachelor Student at Universidad de Sevilla (Oct. 2010 – Jun. 2015)

Publications #

  1. 2023 #

  2. SHARQ: Scheduled HARQ for Time-and Loss-Rate-Sensitive Networks

    Kai Vogelgesang, Pablo Gil Pereira, Thorsten Herfet
    Paper

  3. DeepSHARQ: Hybrid Error Coding using Deep Learning

    Pablo Gil Pereira, Kai Vogelgesang, Moritz Miodek, Andreas Schmidt, Thorsten Herfet
    Paper

  4. 2022 #

  5. Polar Coding for Efficient Transport Layer Multicast

    Pablo Gil Pereira, Thorsten Herfet
    Paper

  6. DeepHEC: Hybrid Error Coding using Deep Learning

    Pablo Gil Pereira, Andreas Schmidt, Thorsten Herfet
    PDF Paper

  7. 2021 #

  8. Reducing FEC-Complexity in Cross-Layer Predictable Data Communication

    Pablo Gil Pereira, Thorsten Herfet
    Paper

  9. 2020 #

  10. X-Leep: Leveraging cross-layer pacing for energy-efficient edge systems

    Stefan Reif, Benedict Herzog, Pablo Gil Pereira, Andreas Schmidt, Tobias Büttner, Timo Hönig, Wolfgang Schröder-Preikschat, Thorsten Herfet
    Paper

  11. Predictably Reliable Real-time Transport Services for Wireless Cyber-Physical Systems

    Andreas Schmidt, Pablo Gil Pereira, Thorsten Herfet
    Paper

  12. Latency-aware and-predictable communication with open protocol stacks for remote drone control

    Marlene Böhmer, Andreas Schmidt, Pablo Gil Pereira, Thorsten Herfet
    Paper

  13. 2019 #

  14. Cross-layer pacing for predictably low latency

    Andreas Schmidt, Stefan Reif, Pablo Gil Pereira, Timo Hönig, Thorsten Herfet, Wolfgang Schröder-Preikschat
    Paper

  15. Minimal Startup Delay in HAS with Staggered Segments

    Pablo Gil Pereira, Thorsten Herfet
    Paper

  16. Cross-Layer Pacing for Predictably Low Age of Information

    Andreas Schmidt, Stefan Reif, Pablo Gil Pereira, Timo Hönig, Thorsten Herfet, Wolfgang Schröder-Preikschat
    Paper

  17. 2018 #

  18. Cross-Layer Effects on Training Neural Algorithms for Video Streaming

    Pablo Gil Pereira, Andreas Schmidt, Thorsten Herfet
    Paper

  19. 2017 #

  20. Performance Evaluation of Dynamic Adaptive Streaming on a Global Scale

    Pablo Gil Pereira
    Master's Thesis

Teaching & Tutoring #

  • MT Teaching Assistant: WS20, WS21, WS22, WS23
  • FMI Teaching Assistant: WS18, WS19
  • HON Teaching Assistant: SS18, SS19, SS20, SS22, SS23

Advised Theses #